AN INTEROPERABLE DIGITAL TWIN TO SIMULATE SPATIO-TEMPORAL PHOTOVOLTAIC POWER OUTPUT AND GRID CONGESTION AT NEIGHBOURHOOD AND CITY LEVELS IN LUXEMBOURG

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2. Digital twin for supporting decision-making and stakeholder collaboration in urban decarbonization processes. A participatory development in Gothenburg D. Maiullari et al. https://doi.org/10.1177/23998083241286030
3. A Digital Twin Framework for Simulating Distributed Energy Resources in Distribution Grids M. Værbak et al. https://doi.org/10.3390/en17112503
4. Nonuniformity of Irradiation Distribution on Vehicles' Bodies E. Sovetkin et al. https://doi.org/10.1002/pip.3876
5. Three-dimensional visualization design strategies for urban smart venues under the internet of things R. Liu https://doi.org/10.2298/CSIS241122037L
6. Scientometric review and visualisation of City Information Modeling (CIM) trends and future directions E. Okonta et al. https://doi.org/10.1007/s44327-025-00072-4
7. Le « jumeau numérique environnemental » à l’échelle du territoire, les données au cœur des cas d’usage F. Josse et al. https://doi.org/10.1051/shsconf/202419803003
8. City Information Modeling for Urban Planning: A Systematic Review of Workflows, Validation, and Maturity A. Alashi & Ö. Ertekin https://doi.org/10.3390/buildings16132573
9. A comprehensive review and framework on the applications of digital twins for energy transition at the district level A. Jalilzadeh et al. https://doi.org/10.1016/j.rser.2026.116872